Senior Data Analyst (m/w/d)

How about fighting for the rights of millions of consumers? Sound´s good? Wait - it gets better... with us, you can work on one of the biggest challenges of our legal system: We want consumers to understand and finally exercise their rights. To achieve this, we are building the leading European Justice-as-a-Service platform www.lexfox.com. On our first and best known portal www.wenigermiete.de users can find out free of charge whether their rent is above the legal limit and ask us to reduce their rent. We are successively expanding other verticals such as mehrabfindung.de for the employment sector and weniger-internetkosten.de for the telecommunications sector.
You want to join us in our fight for consumer rights? You want to drive decisions that enhance the life of millions of consumers?
Then join us as a (Senior) Data Analyst in our Office in the very heart of Berlin.
As a dedicated part of the company's marketing team, you collect and analyse data, visualize core findings, prepare dashboards on crucial KPIs and enable decision making towards our fight for consumers. In this position at our headquarters in Berlin, you will apply your advanced analytical skills to provide our Management team and the marketing department with actionable insights to make data-driven decisions.

Responsibilities

Provide strong analytical expertise and actionable insights to support core stakeholders in the company, especially our Management team

Establish and constantly improve reporting tools for business stakeholders in order to support data-driven decision

Conduct ad-hoc analyses and present the results with passion and brevity to stakeholders, both visually and verbally

Develop analytical models and related dashboards and enhance them proactively

Reporting to the CMO, identify core KPIs to base decisions on

Requirements

Great skills in identifying and solving analytical problems using quantitative approaches and in translating your insights into actionable recommendations

Ability to consequently balance a fast-paced working environment with the need for precision

Being able to apply a high degree of pragmatism to solve data challenges and get fast results if needed